mYsTeRy | following short instruction will show you how to configure | Bot library

 by   pBlueG PHP Version: Current License: No License

kandi X-RAY | mYsTeRy Summary

kandi X-RAY | mYsTeRy Summary

mYsTeRy is a PHP library typically used in Automation, Bot applications. mYsTeRy has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

mYsTeRy IRC PHP Bot.
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              mYsTeRy has a low active ecosystem.
              It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of mYsTeRy is current.

            kandi-Quality Quality

              mYsTeRy has 0 bugs and 0 code smells.

            kandi-Security Security

              mYsTeRy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              mYsTeRy code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              mYsTeRy does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              mYsTeRy releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            mYsTeRy Key Features

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            mYsTeRy Examples and Code Snippets

            No Code Snippets are available at this moment for mYsTeRy.

            Community Discussions

            QUESTION

            Why Am I Getting GHC Couldn't Match Type Error in Functor Instance?
            Asked 2022-Feb-19 at 11:33

            I am trying to write a Functor instance:

            ...

            ANSWER

            Answered 2022-Feb-19 at 11:33

            Your parentN has a list of TreeNs, so you need to perform a mapping over all children:

            Source https://stackoverflow.com/questions/71184578

            QUESTION

            Jetpack Compose how does SubcomposeLayout work?
            Asked 2021-Dec-21 at 19:43

            As can be seen in official documents there is layout named SubcomposeLayout defined as

            Analogue of Layout which allows to subcompose the actual content during the measuring stage for example to use the values calculated during the measurement as params for the composition of the children.

            Possible use cases:

            You need to know the constraints passed by the parent during the composition and can't solve your use case with just custom Layout or LayoutModifier. See androidx.compose.foundation.layout.BoxWithConstraints.

            You want to use the size of one child during the composition of the second child.

            You want to compose your items lazily based on the available size. For example you have a list of 100 items and instead of composing all of them you only compose the ones which are currently visible(say 5 of them) and compose next items when the component is scrolled.

            I searched Stackoverflow with SubcomposeLayout keyword but couldn't find anything about it, created this sample code, copied most of it from official document, to test and learn how it works

            ...

            ANSWER

            Answered 2021-Oct-21 at 17:16

            It's supposed to re-measure a component based on another component size...

            SubcomposeLayout doesn't remeasure. It allows deferring the composition and measure of content until its constraints from its parent are known and some its content can be measured, the results from which and can be passed as a parameter to the deferred content. The above example calculates the maximum size of the content generated by mainContent and passes it as a parameter to deferredContent. It then measures deferredContent and places both mainContent and deferredContent on top of each other.

            The simplest example of how to use SubcomposeLayout is BoxWithConstraints that just passes the constraints it receives from its parent directly to its content. The constraints of the box are not known until the siblings of the box have been measured by the parent which occurs during layout so the composition of content is deferred until layout.

            Similarly, for the example above, the maxSize of mainContent is not known until layout so deferredContent is called in layout once maxSize is calculated. It always places deferredContent on top of mainContent so it is assumed that deferredContent uses maxSize in some way to avoid obscuring the content generated by mainContent. Probably not the best design for a composable but the composable was intended to be illustrative not useful itself.

            Note that subcompose can be called multiple times in the layout block. This is, for example, what happens in LazyRow. The slotId allows SubcomposeLayout to track and manage the compositions created by calling subcompose. For example, if you are generating the content from an array you might want use the index of the array as its slotId allowing SubcomposeLayout to determine which subcompose generated last time should be used to during recomposition. Also, if a slotid is not used any more, SubcomposeLayout will dispose its corresponding composition.

            As for where the slotId goes, that is up to the caller of SubcomposeLayout. If the content needs it, pass it as a parameter. The above example doesn't need it as the slotId is always the same for deferredContent so it doesn't need to go anywhere.

            Source https://stackoverflow.com/questions/69663194

            QUESTION

            Why can't i give an explicit type signature to a local let bound ST action
            Asked 2021-Dec-12 at 22:51

            I have the following simplified program that works fine:

            ...

            ANSWER

            Answered 2021-Dec-12 at 22:51

            First, let's rename the type variables just so they're easier to talk about, and remove parts of the program that don't matter for this error:

            Source https://stackoverflow.com/questions/70324341

            QUESTION

            How can I delete just one parameter with urlsearchparams.delete()?
            Asked 2021-Nov-29 at 04:50

            So I have an app which displays movies with Movie API and multiple buttons, which show movies of particular genre. So when I click on multiple of such buttons, they all add together in the query, like in the example below:

            ...

            ANSWER

            Answered 2021-Nov-22 at 13:38

            I don't think there's a one-method way to do it. You have to:

            • Get all the current values (getAll)
            • Remove the key entirely
            • Add back the values you want to keep

            Here's an example:

            Source https://stackoverflow.com/questions/70066494

            QUESTION

            CSS media query ignored by Chrome engines
            Asked 2021-Nov-27 at 00:02

            I have a stylesheet, which is essentially the following:

            ...

            ANSWER

            Answered 2021-Nov-26 at 21:38

            Do you have this in the head

            Source https://stackoverflow.com/questions/70130232

            QUESTION

            Why does my Intel Skylake / Kaby Lake CPU incur a mysterious factor 3 slowdown in a simple hash table implementation?
            Asked 2021-Oct-26 at 09:13

            In short:

            I have implemented a simple (multi-key) hash table with buckets (containing several elements) that exactly fit a cacheline. Inserting into a cacheline bucket is very simple, and the critical part of the main loop.

            I have implemented three versions that produce the same outcome and should behave the same.

            The mystery

            However, I'm seeing wild performance differences by a surprisingly large factor 3, despite all versions having the exact same cacheline access pattern and resulting in identical hash table data.

            The best implementation insert_ok suffers around a factor 3 slow down compared to insert_bad & insert_alt on my CPU (i7-7700HQ). One variant insert_bad is a simple modification of insert_ok that adds an extra unnecessary linear search within the cacheline to find the position to write to (which it already knows) and does not suffer this x3 slow down.

            The exact same executable shows insert_ok a factor 1.6 faster compared to insert_bad & insert_alt on other CPUs (AMD 5950X (Zen 3), Intel i7-11800H (Tiger Lake)).

            ...

            ANSWER

            Answered 2021-Oct-25 at 22:53
            Summary

            The TLDR is that loads which miss all levels of the TLB (and so require a page walk) and which are separated by address unknown stores can't execute in parallel, i.e., the loads are serialized and the memory level parallelism (MLP) factor is capped at 1. Effectively, the stores fence the loads, much as lfence would.

            The slow version of your insert function results in this scenario, while the other two don't (the store address is known). For large region sizes the memory access pattern dominates, and the performance is almost directly related to the MLP: the fast versions can overlap load misses and get an MLP of about 3, resulting in a 3x speedup (and the narrower reproduction case we discuss below can show more than a 10x difference on Skylake).

            The underlying reason seems to be that the Skylake processor tries to maintain page-table coherence, which is not required by the specification but can work around bugs in software.

            The Details

            For those who are interested, we'll dig into the details of what's going on.

            I could reproduce the problem immediately on my Skylake i7-6700HQ machine, and by stripping out extraneous parts we can reduce the original hash insert benchmark to this simple loop, which exhibits the same issue:

            Source https://stackoverflow.com/questions/69664733

            QUESTION

            Promise objects not working in React Native project
            Asked 2021-Oct-13 at 17:23

            First, I thought firebase functions were broken. Then, I tried to make a simple function that returns Promise. I put that to top-level index.js.

            ...

            ANSWER

            Answered 2021-Sep-08 at 11:59

            It seems that setting inlineRequires to false inside the metro.config.js file resolves the issue.

            Source https://stackoverflow.com/questions/68687015

            QUESTION

            U-boot Script Bad Header CRC
            Asked 2021-Sep-16 at 13:23

            I have a "flashing" script being loaded into a Uboot, on an iMX6, from a host PC via sdp. The script has been run through mkimage, so it has an image header. Here's the mkimage command:

            ...

            ANSWER

            Answered 2021-Sep-15 at 01:55

            What am I doing wrong?

            U-Boot almost always assumes hexadecimal values for command arguments, so using the 0x... prefix is actually superfluous. AFAIK there is no way to input decimal values.

            Source https://stackoverflow.com/questions/69169297

            QUESTION

            Reason for the name of the "store buffer" litmus test on x86 TSO memory model
            Asked 2021-Sep-11 at 08:47

            I've been studying the memory model and saw this (quote from https://research.swtch.com/hwmm):

            ...

            ANSWER

            Answered 2021-Sep-11 at 08:47

            It makes some sense to call StoreLoad reordering an effect of the store buffer because the way to prevent it is with mfence or a locked instruction that drains the store buffer before later loads are allowed to read from cache. Merely serializing execution (with lfence) would not be sufficient, because the store buffer still exists. Note that even sfence ; lfence isn't sufficient.

            Also I assume P5 Pentium (in-order dual-issue) has a store buffer, so SMP systems based on it could have this effect, in which case it would definitely be due to the store buffer. IDK how thoroughly the x86 memory model was documented in the early days before PPro even existed, but any naming of litmus tests done before that might well reflect in-order assumptions. (And naming after might include still-existing in-order systems.)

            You can't tell which effect caused StoreLoad reordering. It's possible on a real x86 CPU (with a store buffer) for a later load to execute before the store has even written its address and data to the store buffer.

            And yes, executing a store just means writing to the store buffer; it can't commit from the SB to L1d cache and become visible to other cores until after the store retires from the ROB (and thus is known to be non-speculative).

            (Retirement happens in-order to support "precise exceptions". Otherwise, chaos ensues and discovering a mis-predict might mean rolling back the state of other cores, i.e. a design that's not sane. Can a speculatively executed CPU branch contain opcodes that access RAM? explains why a store buffer is necessary for OoO exec in general.)

            I can't think of any detectable side-effect of the load uop executing before the store-data and/or store-address uops, or before the store retires, rather than after the store retires but before it commits to L1d cache.

            You could force the latter case by putting an lfence between the store and the load, so the reordering is definitely caused by the store buffer. (A stronger barrier like mfence, a locked instruction, or a serializing instruction like cpuid, will all block the reordering entirely by draining the store buffer before the later load can execute. As an implementation detail, before it can even issue.)

            A normal out of order exec treats all instructions as speculative, only becoming non-speculative when they retire from the ROB, which is done in program order to support precise exceptions. (See Out-of-order execution vs. speculative execution for a more in-depth exploration of that idea, in the context of Intel's Meltdown vulnerability.)

            A hypothetical design with OoO exec but no store buffer would be possible. It would perform terribly, with each store having to wait for all previous instructions to be definitively known to not fault or otherwise be mispredicted / mis-speculated before the store can be allowed to execute.

            This is not quite the same thing as saying that they need to have already executed, though (e.g. just executing the store-address uop of an earlier store would be enough to know it's non-faulting, or for a load doing the TLB/page-table checks will tell you it's non-faulting even if the data hasn't arrived yet). However, every branch instruction would need to be already executed (and known-correct), as would every ALU instruction like div that can.

            Such a CPU also doesn't need to stop later loads from running before stores. A speculative load has no architectural effect / visibility, so it's ok if other cores see a share-request for a cache line which was the result of a mis-speculation. (On a memory region whose semantics allow that, such as normal WB write-back cacheable memory). That's why HW prefetching and speculative execution work in normal CPUs.

            The memory model even allows StoreLoad ordering, so we're not speculating on memory ordering, only on the store (and other intervening instructions) not faulting. Which again is fine; speculative loads are always fine, it's speculative stores that we must not let other cores see. (So we can't do them at all if we don't have a store buffer or some other mechanism.)

            (Fun fact: real x86 CPUs do speculate on memory ordering by doing loads out of order with each other, depending on addresses being ready or not, and on cache hit/miss. This can lead to memory order mis-speculation "machine clears" aka pipeline nukes (machine_clears.memory_ordering perf event) if another core wrote to a cache line between when it was actually read and the earliest the memory model said we could. Or even if we guess wrong about whether a load is going to reload something stored recently or not; memory disambiguation when addresses aren't ready yet involves dynamic prediction so you can provoke machine_clears.memory_ordering with single-threaded code.)

            Out-of-order exec in P6 didn't introduce any new kinds of memory re-ordering because that could have broken existing multi-threaded binaries. (At that time mostly just OS kernels, I'd guess!) That's why early loads have to be speculative if done at all. x86's main reason for existence it backwards compat; back then it wasn't the performance king.

            Re: why this litmus test exists at all, if that's what you mean?
            Obviously to highlight something that can happen on x86.

            Is StoreLoad reordering important? Usually it's not a problem; acquire / release synchronization is sufficient for most inter-thread communication about a buffer being ready to read, or more generally a lock-free queue. Or to implement mutexes. ISO C++ only guarantees that mutexes lock / unlock are acquire and release operations, not seq_cst.

            It's pretty rare that an algorithm depends on draining the store buffer before a later load.

            Say I somehow observed this litmus test on an x86 machine,

            Fully working program that verifies that this reordering is possible in real life on real x86 CPUs: https://preshing.com/20120515/memory-reordering-caught-in-the-act/. (The rest of Preshing's articles on memory ordering are also excellent. Great for getting a conceptual understanding of inter-thread communication via lockless operations.)

            Source https://stackoverflow.com/questions/69112020

            QUESTION

            Why can R not find the value of an argument through lexical scoping?
            Asked 2021-Sep-09 at 22:32

            I have been reading Hadley Wickham's Advanced R in order to gain a better understanding of the mechanisms of R and how it works behind the scene. I have so far enjoyed it and everything is quite clear. There is one question that occupies my mind for which I have not yet found an explanation. I am quite familiar with the scoping rules of R which determine how values are assigned to FREE VARIABLES. However, I have been grappling with the question of why R cannot find the value of a formal argument through lexical scoping in the first case. Consider the following example:

            ...

            ANSWER

            Answered 2021-Sep-09 at 22:32

            Note that R will only throw the error when you go to use the variable. if you had

            Source https://stackoverflow.com/questions/69124966

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install mYsTeRy

            You can download it from GitHub.
            PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.

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